def performance(results):
    accuracy = sklearn.metrics.accuracy_score(
        results['party'].cat.codes, results['predicted'].cat.codes)
    precision = sklearn.metrics.precision_score(
            results['party'].cat.codes, results['predicted'].cat.codes)
    recall = sklearn.metrics.recall_score(
            results['party'].cat.codes, results['predicted'].cat.codes)